Purpose: This study aims to investigate how measuring the lean practices–performance relationship could add value to businesses. Design/methodology/approach: Case-study methodology was used for the quantitative analysis of self-assessed lean capability scores and key manufacturing performance...

Developing a big data signal processing method is to monitor the behavior of a common component: a pneumatic actuator. The method is aimed at supporting condition-based maintenance activities: monitoring signals over an extended period, and identifying, classifying diferent machine states that...

Identifying investment patterns as part of customer segmentation is one of the most important tasks in retail banking. Clustering customers efectively is an important element of improving marketing policy and strategic planning. There are several methods for identifying similar groups of...

In modern industries, there is a significant repository of sensor data, which contains a large amount of information. Unfortunately, this rich source of information is undervalued and underutilized, and its full potential is not fully exploited by modern day manufacturers. In the Industry 4.0...

This paper aims to discuss the role of digital agility and digital competitiveness in SMEs' innovative performance in the context of a digitally turbulent environment. While SME innovative performance is a key research topic, we did not find recent research that investigates the relationship...

Industry 4.0 seeks waste reduction via the optimization of production systems integrating technology and process. In addition to evaluating existing methods and technologies, academia also develops new ones. This research proposes a new hybrid artificial intelligence (AI) solution for production...